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Spatial Prioritization of Sediment Source Areas at Watershed Scale | ||
| Water Harvesting Research | ||
| دوره 5، شماره 1 - شماره پیاپی 7، 2022، صفحه 40-52 اصل مقاله (1.19 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22077/jwhr.2022.5426.1066 | ||
| نویسندگان | ||
| Hamzeh Noor* 1؛ Ali Bagherian Kalat2؛ Ali Dastranj1 | ||
| 1Soil Conservation and Watershed Management Department, Agricultural and Natural Resources Research Center of Khorasan Razavi, AREEO, Mashhad, Iran | ||
| 21. Soil Conservation and Watershed Management Department, Agricultural and Natural Resources Research Center of Khorasan Razavi, AREEO, Mashhad, Iran | ||
| چکیده | ||
| Identification and prioritization of critical sub-watershed is essential to sediment control at watershed scale. Many studies have been carried out on the topic of identifying and prioritizing the critical source areas (CSAs); however, only few researches have been conducted to prioritize sub-watersheds in terms of their contributions to the sediment yield of the main watershed outlet. In fact, observations alone are not enough for CSAs prioritization; hence, hydrological models may be applied for prioritization of sub-watershed. Therefore, in the present study, prioritization of sub-watershed was considered based on (1) on-site effects of soil erosion: specific sediment yield at sub-watershed scale (sediment yield/area), (2) offsite effect of soil erosion: sub-watershed contribution to the sediment yield of the main watershed outlet. In this study, Soil and Water Assessment Tool (SWAT) was applied for prediction of runoff and sediment load at sub-watershed scale and the main watershed outlet. The Unit Response Approach (URA) has also been applied to prioritize sub-watersheds in terms of their contributions to the sediment yield at the watershed outlet. The proposed model was applied in Mehran watershed, in West of Tehran (capital of Iran). The study watershed was divided into 37 sub-watersheds. The results showed that the contribution of sub-watershed No.14 and No. 17 had the largest sediment contribution into the main outlet of watershed. The results of this ranking can differ entirely from those based on single sub-watershed sediment production at the sub-watershed outlet. Targeting the placement of Best Management Practices, based on the CSAs concept, will assist sediment control in watersheds. | ||
| کلیدواژهها | ||
| CSAs؛ Spatial Prioritization؛ Hydrologic Model؛ Watershed Management | ||
| مراجع | ||
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Abbaspour, K. C. (2011). User manual for SWAT-CUP, SWAT calibration and uncertainty analysis programs. Swiss Federal Institute of Aquatic Science and Technology, Eawag, Duebendorf, Switzerland. Akhavan, S., Abedi-Koupai, J., Mousavi, SF., Afyuni, M., Eslamian, S.S., & Abbaspour, K.C. (2010) Application of SWAT model to investigate nitrate leaching in Hamadan–Bahar Watershed, Iran. Agriculture, Ecosystems and Environment, 139: 675–688. Arabi, M., Govindaraju, R. S., & Hantush, M. M. (2006). Cost‐effective allocation of watershed management practices using a genetic algorithm. Water Resources Research, 42(10). Faculty of Agriculture, University of Tehran (FAUT), (1993), General Investigation of Taleghan Basin: Hydrometeology and Climatology Report. (In Persian). Giri, S., Nejadhashemi, A. P., & Woznicki, S. A. (2012). Evaluation of targeting methods for implementation of best management practices in the Saginaw River Watershed. Journal of environmental management, 103, 24-40. Giri, S., Nejadhashemi, A. P., Woznicki, S., & Zhang, Z. (2014). Analysis of best management practice effectiveness and spatiotemporal variability based on different targeting strategies. Hydrological Processes, 28(3), 431-445. Hosseini, M., Ghafouri, A. M., M Amin, M. S., Tabatabaei, M. R., Goodarzi, M., & Abde Kolahchi, A. (2012). Effects of land use changes on water balance in Taleghan Catchment, Iran. Journal of Agricultural Science and Technology, 14(5), 1161-1174. Jha, M. K., Schilling, K. E., Gassman, P. W., & Wolter, C. F. (2010). Targeting land-use change for nitrate-nitrogen load reductions in an agricultural watershed. Journal of Soil and Water Conservation, 65(6), 342-352. Kaini, P., Artita, K., & Nicklow, J. W. (2012). Optimizing structural best management practices using SWAT and genetic algorithm to improve water quality goals. Water resources management, 26(7), 1827-1845. Karamouz, M., Taheriyoun, M., Baghvand, A., Tavakolifar, H., & Emami, F. (2010). Optimization of watershed control strategies for reservoir eutrophication management. Journal of Irrigation and Drainage Engineering, 136(12), 847-861. Kumar, S., & Mishra, A. (2015). Critical Erosion Area Identification Based on Hydrological Response Unit Level for Effective Sedimentation Control in a River Basin. Water Resources Management, 29(6), 1749-1765. Moriasi, D. N., Arnold, J. G., Van Liew, M. W., Bingner, R. L., Harmel, R. D., & Veith, T. L. (2007). Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Trans. Asabe, 50(3), 885-900. Neitsch, S.L., Arnold, J.G., Kiniry, J.R., King, K.W., Williams, J.R. 2011. Soil and waterassessment tool (SWAT) theoretical documentation, Blackland Research Center, TexasAgricultural Experiment Station, Temple, Texas (BRC Report 02-05). Niraula, R., Kalin, L., Srivastava, P., & Anderson, C. J. (2013). Identifying critical source areas of nonpoint source pollution with SWAT and GWLF. Ecological Modelling, 268, 123-133. Noor, H., Fazli, S., & Alibakhshi, S. M. (2013). Evaluation of the relationships between runoff-rainfall-sediment related nutrient loss (a case study: Kojour Watershed, Iran). Soil Water Res, 8(4), 172-177. Noor, H., Vafakhah, M., Taheriyoun, M., & Moghaddasi, M. (2014). Comparison of Single-site and Multi-site Based Calibrations of SWAT in Taleghan Watershed, Iran. International Journal of Engineering-Transactions B: Applications, 27(11), 1645. Nosrati, K., Feiznia, S., Van Den Eeckhaut, M., & Duiker, S. W. (2011). Assessment of soil erodibility in Taleghan Drainage Basin, Iran, using multivariate statistics. Physical Geography, 32(1), 78-96. Panagopoulos, Y., Makropoulos, C., & Mimikou, M. (2012). Decision support for diffuse pollution management. Environmental Modelling & Software, 30, 57-70. Panagopoulos, Y., Makropoulos, C., Baltas, E., & Mimikou, M. (2011). SWAT parameterization for the identification of critical diffuse pollution source areas under data limitations. Ecological modelling, 222(19), 3500-3512. Saghafian, B., & Khosroshahi, M. (2005). Unit response approach for priority determination of flood source areas. Journal of hydrologic engineering, 10(4), 270-277. Saghafian, B., Meghdadi, A. R., & Sima, S. (2015). Application of the WEPP model to determine sources of run‐off and sediment in a forested watershed. Hydrological Processes, 29(4), 481-497. Sardar, B., Singh, A. K., Raghuwanshi, N. S., & Chatterjee, C. (2012). Hydrological Modeling to Identify and Manage Critical Erosion-Prone Areas for Improving Reservoir Life: Case Study of Barakar Basin. Journal of Hydrologic Engineering, 19(1), 196-204. Schilling, K. E., & Wolter, C. F. (2009). Modeling nitrate-nitrogen load reduction strategies for the Des Moines River, Iowa using SWAT. Environmental management, 44(4), 671-682. Seppelt, R., Lautenbach, S., & Volk, M. (2013). Identifying trade-offs between ecosystem services, land use, and biodiversity: a plea for combining scenario analysis and optimization on different spatial scales. Current Opinion in Environmental Sustainability, 5(5), 458-463. Skardi, M. J. E., Afshar, A., & Solis, S. S. (2013). Simulation-optimization model for non-point source pollution management in watersheds: Application of cooperative game theory. KSCE Journal of Civil Engineering, 17(6), 1232-1240. Srinivasan, M.S., Gerard-Marchant, P., Veith, T.L., Gburek, W.J., Steenhuis, T.S., 2005. Watershed scale modeling of critical source areas of runoff generation and phosphorus transport. Journal of the American Water Resources Association, 41, 361-377. Strauss, P., Leone, A., Ripa, M. N., Turpin, N., Lescot, J. M., & Laplana, R. (2007). Using critical source areas for targeting cost‐effective best management practices to mitigate phosphorus and sediment transfer at the watershed scale. Soil Use and Management, 23(s1), 144-153. Tripathi, M. P., Panda, R. K., & Raghuwanshi, N. S. (2005). Development of effective management plan for critical subwatersheds using SWAT model. Hydrological Processes, 19(3), 809-826. Tuppad, P., Douglas-Mankin, K. R., & McVay, K. A. (2010). Strategic targeting of cropland management using watershed modeling. Agricultural Engineering International: CIGR Journal, 12(3-4), 12-24. White, M. J., Storm, D. E., Busteed, P. R., Stoodley, S. H., & Phillips, S. J. (2009). Evaluating nonpoint source critical source area contributions at the watershed scale. Journal of environmental quality, 38(4), 1654-1663. Winchell, M., Meals, D. W., Folle, S., Moore, J., Braun, D., DeLeo, C., Budreski, K., & Schiff R. (2011). Identification of Critical Source Areas of Phosphorus within the Vermont Sector of the Missisquoi Bay Basin. Final Report to the Lake Champlain Basin Program. Montpelier, VT: Stone Environmental, Inc. Online: http://www.lcbp.org/ ijc.htm Yazdi, J., Salehi Neyshabouri, S. A. A., Niksokhan, M. H., Sheshangosht, S., & Elmi, M. (2013). Optimal prioritisation of watershed management measures for flood risk mitigation on a watershed scale. Journal of Flood Risk Management, 6(4), 372-384. | ||
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